使用行为变化轮框架开发基于规则的聊天机器人,以支持在戒烟方面遵守瓦雷尼克林
Nadia Minian1,2,3,4,5, Kamna Mehra1, Jonathan Rose1,6
1INTREPID Lab, Centre for Addiction and Mental Health, Toronto, ON, Canada.
Digital health
|September 25, 2025
概括
开发了一个新的基于规则的聊天机器人ChatV,以改善戒烟的维瑞尼克林坚持. 这种以理论为导向的方法通过整合行为改变原则来增强药物支持.
科学领域:
- 数字健康数字健康
- 行为科学 行为科学
- 药理学 药理学是指药理学的学科.
背景情况:
- 瓦伦尼克林在戒烟方面是有效的,但不坚持是主要的障碍.
- 会话代理可以支持药物坚持,但生成AI风险限制了可靠性.
- 基于规则的聊天机器人为患者支持提供了一个透明的,基于理论的替代方案.
研究的目的:
- 开发基于规则的聊天机器人ChatV,旨在增强瓦雷尼克林的坚持.
- 将聊天机器人融入行为变化轮框架,以提供基于证据的支持.
主要方法:
- 采用了三个阶段的开发过程.
- 使用理论领域框架和定性访谈确定了坚持的决定因素.
- 根据行为改变技术 (BCT) 分类学v1和APEASE标准选择的干预组件.
主要成果:
- 确定了11个关键的行为变化领域.
- 精制为9个理论领域和21个BCT作为ChatV.com的核心组件.
- 干预组件的选择是根据APEASE标准进行的.
结论:
- 本研究提出了一种结构化,基于理论的方法,用于开发医疗保健聊天机器人.
- 聊天视频展示了一个基于规则的对话代理的模型,支持药物坚持.
- 整合行为改变原则增强了数字健康工具的潜力.
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